Numerical Ecology

Front Cover
Elsevier, Nov 25, 1998 - Science - 852 pages
10 Reviews
The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. Compared to the first edition of Numerical Ecology, this second edition includes three new chapters, dealing with the analysis of semiquantitative data, canonical analysis and spatial analysis. New sections have been added to almost all other chapters. There are sections listing available computer programs and packages at the end of several chapters. As in the previous English and French editions, there are numerous examples from the ecological literature, and the choice of methods is facilitated by several synoptic tables.
  

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Contents

Chapter 1 Complex ecological data sets
1
a summary
51
Chapter 3 Dimensional analysis in ecology
97
Chapter 4 Multidimensional quantitative data
131
Chapter 5 Multidimensional semiquantitative data
185
Chapter 6 Multidimensional qualitative data
207
Chapter 7 Ecological resemblance
247
Chapter 8 Cluster analysis
303
Chapter 10 Interpretation of ecological structures
481
Chapter 11 Canonical analysis
575
Chapter 12 Ecological data series
637
Chapter 13 Spatial analysis
707
Bibliography
787
Tables
833
Subject index
839
Copyright

Chapter 9 Ordination in reduced space
387

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Popular passages

Page 798 - Field, JG 1969. The use of the information statistic in the numerical classification of heterogeneous systems. J. Ecol. 57: 565-569.

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Kevin Gaston
Limited preview - 1994
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